We follow the implementation of Mask-RCNN [1]} to integrate EfficientFormer as the backbone and verify performance. We experiment over COCO-2017 [2]} which contains training and validations sets of 118K and 5K images, respectively.
The EfficientFormer backbone is initialized with ImageNet-1K pretrained weights.
Similar to prior work [3]}, we use AdamW optimizer [4]}, [5]} with initial learning rate of \(2\times 10^{-4}\) , and train the model for 12 epochs. We set the input size as \(1333\times 800\) .
